From our enterprise architects
Case studies, points of view, and implementation guides — grounded in real delivery across every solution pillar.
From legacy migration to real-time operational apps to autonomous AI agents — Systech delivers the full Databricks journey through three proven solution pillars.





Systech's "Modernize-then-Intelligize" approach takes you from legacy stack to autonomous AI agents — each pillar building on the last.
Automate the migration of legacy databases, SQL, ETL pipelines, and stored procedures to Databricks — with Unity Catalog governance built in from day one.
Build production-ready operational apps on Databricks Lakebase in weeks — not months. LakeBuild™ handles the architecture, code generation, and governance so your team ships faster and owns what gets built.
Deploy autonomous AI agents on Databricks that don't just answer questions — they execute workflows. AgentBuild™ uses Genie for intelligence, Genie Agents for orchestration, and Unity Catalog for governance, so every agent is fast, trusted, and audit-ready.
Fixed-timeline engagements designed to de-risk your Databricks investment and deliver a production-ready asset — fast.
We handle the complexity of moving your legacy data stack to Databricks. You get a governed, production-ready Lakebase environment — and a clear roadmap for everything that comes next.
Pick one legacy application. In four weeks, it runs on Databricks Lakebase — sub-second, AI-ready, and governed. No cost. No risk. A working asset your team owns at the end.
Your teams will move from asking questions to taking action. One real business use case, taken from concept to a production-ready AI agent on Databricks — powered by your data, governed by Unity Catalog.
DBShift™ automates the conversion of legacy databases, SQL, ETL pipelines, and stored procedures to Databricks-native formats — with Unity Catalog governance applied from day one, not as an afterthought.
Legacy SQL, DDL, PL/pgSQL and ETL converted to Databricks-native formats — automatically documented and refactored.
Full lineage, access control, and governance applied at migration — not retrofitted after go-live.
A data-backed plan and quote for modernizing your full legacy operational estate to Databricks Lakebase.
Databricks Lakebase eliminates the boundary between your operational database and your analytics platform — your apps run directly on live transactional data, no ETL, no lag. Systech, as a Lakebase Launch Partner, built LakeBuild™ to make this transition fast and production-ready.
Replace analytical lag — Lakebase delivers transactional speed directly from your data store to your application layer.
LakeBuild™ accelerates every Lakebase app delivery — pre-built architecture patterns, tested code templates, and aiDE's multi-agent engine generate, document, and govern code automatically. What used to take months ships in weeks. RetailIQ was built on it.
Every LakeBuild™ deployment applies Unity Catalog governance at the data layer from day one — full lineage, access control, and policy enforcement across every app and table.
Pick one legacy application. LakeBuild™ migrates it to Databricks Lakebase in four weeks — sub-second, AI-ready, and governed by Unity Catalog from day one. Your team owns everything we build. At no cost.
Stop building dashboards. Start deploying agents. AgentBuild™ puts autonomous AI directly on your Databricks environment — Genie powers the intelligence, Genie Agents handle orchestration, Unity Catalog enforces the governance, and your agents don't stop at answering questions. They execute the next step.
The conversational AI layer powering every AgentBuild™ deployment — natural language to governed, cited answers. Teams talk to their data and get instant visualizations from your Lakebase environment.
Genie Agents coordinate multi-step agent workflows — routing queries, joining data sources, and executing decisions across your Databricks environment.
Design, deploy, and govern custom agents on Databricks — no-code to power user. AgentBuild™ orchestrates multi-step reasoning and execution, with every agent governed by the Policy Agent and Unity Catalog. Build once, run securely at scale.
Explore AgentBuild™ →"What-if" forecasting and automated ESG narratives — agents that pull from live governed data and generate board-ready outputs automatically.
Agents that don't just answer CFO questions — they pull KPIs, generate insight cards, and flag anomalies automatically. No dashboard pre-building, no SQL.
Agents that read incoming requests, trigger relevant actions, and automate ticket triage — not just surfacing insights, but executing the next step.
Identify one high-impact use case. AgentBuild™ takes it from concept to a production-ready autonomous agent on Databricks in five weeks — your data, your governance, your team enabled to scale it. At no cost.
Migration readiness scoring with actionable steps and a defined cutover plan.
Modern Lakehouse architecture scoped to your industry and data volumes.
Managed migration from legacy stack to Databricks — on time, on budget.
AI agents configured to your data semantics and business workflows — governed by Unity Catalog throughout.
Ongoing monitoring, optimization, and support for your Databricks environment.
Deploy a unified governed Lakehouse foundation in a fixed 4-week engagement.




Case studies, points of view, and implementation guides — grounded in real delivery across every solution pillar.
Manual migration was estimated at over a year. Using DBShift™, Systech delivered it in four weeks — with 90% accuracy and 80% reduction in time and cost.
Read the case studyWe've spent a decade moving data to the cloud. Now it's time to move the applications — and the cost of not doing so is hiding in plain sight.
Read the articleIn time-sensitive scenarios like fraud detection, every second matters. We built the bridge between insights and action.
Read the articleLet's map your legacy stack to a Lakebase roadmap and identify the right offer for your team — no cost, no obligation.
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